Abstract: Knowledge graph embedding is efficient method for reasoning over known facts and inferring missing links. Existing methods are mainly triplet-based or graph-based. Triplet-based approaches ...
Note: This is not complete. There are some edge cases to work out and some rendering features are still missing or not working properly. Base (+alpha): Basic look of the shader, mostly used for the ...
Screenshot for my final render at 1920x1080 in 6 ms of the WDAS cloud dataset. Tested on RTX 3080 at stock clock speeds. I made this project as part of the DD2470 Advanced Topics in Visualization and ...
Abstract: This article studies self-supervised graph representation learning, which is critical to various tasks, such as protein property prediction. Existing methods typically aggregate ...
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